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Chapter IV
An Expert System Devoted
to Automated Music
Identification and Recognition
María Ángeles Fernández de Sevilla
Universidad de Acalá, Spain
Luis M. Laita
Universidad Politécnica de Madrid, Spain
Eugenio Roanes-Lozano
Universidad Complutense de Madrid, Spain
Leon González-Sotos
Universidad de Acalá, Spain
aBstract
This chapter describes a logic and computer algebra-based expert system that automates identification
and recognition of the cult
music styles of the period XVII century—beginnings of the XX century. It uses
a table that contains a list of characteristics (identifiers) of the music styles of the epoch, developed after
interacting with a panel of experts. The user, while or after analysing a score, introduces the identifiers
and the expert system returns the score's style. These tentative identifications and recognitions could be
interactively compared with those of experts. Therefore it may be a useful tool for teaching and learning
history of music. The objectives are to organize the musical knowledge in any way admissible by the
inference engine, to adapt and implement the inference engine (based on a powerful tool for effective
polynomial computations named Gröbner Bases) and to implement a GUI.
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